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Volumn 74, Issue 12, 2011, Pages 2554-2574

From in silico target prediction to multi-target drug design: Current databases, methods and applications

Author keywords

In silico; Mode of action; Off targets; Polypharmacology; Target fishing; Target prediction

Indexed keywords

ANTIINFECTIVE AGENT; CYTOCHROME P450; G PROTEIN COUPLED RECEPTOR; GELATINASE B; HISTONE DEACETYLASE INHIBITOR; HUMAN IMMUNODEFICIENCY VIRUS PROTEINASE INHIBITOR; INDIRUBIN; LIGAND; NONNUCLEOSIDE REVERSE TRANSCRIPTASE INHIBITOR; ORPHAN DRUG; PEROXISOME PROLIFERATOR ACTIVATED RECEPTOR; RNA DIRECTED DNA POLYMERASE INHIBITOR;

EID: 81055140589     PISSN: 18743919     EISSN: 18767737     Source Type: Journal    
DOI: 10.1016/j.jprot.2011.05.011     Document Type: Review
Times cited : (246)

References (157)
  • 1
    • 2942635256 scopus 로고    scopus 로고
    • Paul Ehrlich-in search of the magic bullet
    • Winau F., Westphal O., Winau R. Paul Ehrlich-in search of the magic bullet. Microbes Infect 2004, 6:786-789.
    • (2004) Microbes Infect , vol.6 , pp. 786-789
    • Winau, F.1    Westphal, O.2    Winau, R.3
  • 2
    • 42949175085 scopus 로고    scopus 로고
    • Paul Ehrlich: founder of chemotherapy
    • Kaufmann S.H. Paul Ehrlich: founder of chemotherapy. Nat Rev Drug Discov 2008, 7:373.
    • (2008) Nat Rev Drug Discov , vol.7 , pp. 373
    • Kaufmann, S.H.1
  • 3
    • 84892166712 scopus 로고
    • Einfluss der Configuration auf die Wirkung der Enzyme
    • Fischer E. Einfluss der Configuration auf die Wirkung der Enzyme. Ber Dtsch Chem Ges 1894, 27:2985-2993.
    • (1894) Ber Dtsch Chem Ges , vol.27 , pp. 2985-2993
    • Fischer, E.1
  • 6
    • 3242794178 scopus 로고    scopus 로고
    • From magic bullets to designed multiple ligands
    • Morphy R., Kay C., Rankovic Z. From magic bullets to designed multiple ligands. Drug Discov Today 2004, 9:641-651.
    • (2004) Drug Discov Today , vol.9 , pp. 641-651
    • Morphy, R.1    Kay, C.2    Rankovic, Z.3
  • 8
    • 68949119585 scopus 로고    scopus 로고
    • The topology of drug-target interaction networks: implicit dependence on drug properties and target families
    • Mestres J., Gregori-Puigjane E., Valverde S., Sole R.V. The topology of drug-target interaction networks: implicit dependence on drug properties and target families. Mol Biosyst 2009, 5:1051-1057.
    • (2009) Mol Biosyst , vol.5 , pp. 1051-1057
    • Mestres, J.1    Gregori-Puigjane, E.2    Valverde, S.3    Sole, R.V.4
  • 9
    • 0043069489 scopus 로고    scopus 로고
    • Drug research: myths, hype and reality
    • Kubinyi H. Drug research: myths, hype and reality. Nat Rev Drug Discov 2003, 2:665-668.
    • (2003) Nat Rev Drug Discov , vol.2 , pp. 665-668
    • Kubinyi, H.1
  • 10
    • 21044451732 scopus 로고    scopus 로고
    • GPCR antitarget modeling: pharmacophore models for biogenic amine binding GPCRs to avoid GPCR-mediated side effects
    • Klabunde T., Evers A. GPCR antitarget modeling: pharmacophore models for biogenic amine binding GPCRs to avoid GPCR-mediated side effects. ChemBioChem 2005, 6:876-889.
    • (2005) ChemBioChem , vol.6 , pp. 876-889
    • Klabunde, T.1    Evers, A.2
  • 11
    • 4344645978 scopus 로고    scopus 로고
    • Can the pharmaceutical industry reduce attrition rates?
    • Kola I., Landis J. Can the pharmaceutical industry reduce attrition rates?. Nat Rev Drug Discov 2004, 3:711-715.
    • (2004) Nat Rev Drug Discov , vol.3 , pp. 711-715
    • Kola, I.1    Landis, J.2
  • 12
    • 35148824614 scopus 로고    scopus 로고
    • Network pharmacology
    • Hopkins A.L. Network pharmacology. Nat Biotechnol 2007, 25:1110-1111.
    • (2007) Nat Biotechnol , vol.25 , pp. 1110-1111
    • Hopkins, A.L.1
  • 13
    • 43649099086 scopus 로고    scopus 로고
    • Turning promiscuous kinase inhibitors into safer drugs
    • Zhang X., Crespo A., Fernandez A. Turning promiscuous kinase inhibitors into safer drugs. Trends Biotechnol 2008, 26:295-301.
    • (2008) Trends Biotechnol , vol.26 , pp. 295-301
    • Zhang, X.1    Crespo, A.2    Fernandez, A.3
  • 14
    • 77649204688 scopus 로고    scopus 로고
    • Selectively nonselective kinase inhibition: striking the right balance
    • Morphy R. Selectively nonselective kinase inhibition: striking the right balance. J Med Chem 2010, 53:1413-1437.
    • (2010) J Med Chem , vol.53 , pp. 1413-1437
    • Morphy, R.1
  • 16
    • 34948875686 scopus 로고    scopus 로고
    • Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors
    • Bantscheff M., Eberhard D., Abraham Y., Bastuck S., Boesche M., Hobson S., et al. Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors. Nat Biotechnol 2007, 25:1035-1044.
    • (2007) Nat Biotechnol , vol.25 , pp. 1035-1044
    • Bantscheff, M.1    Eberhard, D.2    Abraham, Y.3    Bastuck, S.4    Boesche, M.5    Hobson, S.6
  • 17
    • 30344481113 scopus 로고    scopus 로고
    • Imatinib binding and cKIT inhibition is abrogated by the cKIT kinase domain I missense mutation Val654Ala
    • McLean S.R., Gana-Weisz M., Hartzoulakis B., Frow R., Whelan J., Selwood D., et al. Imatinib binding and cKIT inhibition is abrogated by the cKIT kinase domain I missense mutation Val654Ala. Mol Cancer Ther 2005, 4:2008-2015.
    • (2005) Mol Cancer Ther , vol.4 , pp. 2008-2015
    • McLean, S.R.1    Gana-Weisz, M.2    Hartzoulakis, B.3    Frow, R.4    Whelan, J.5    Selwood, D.6
  • 18
    • 41549108420 scopus 로고    scopus 로고
    • From single- to multi-target drugs in cancer therapy: when aspecificity becomes an advantage
    • Petrelli A., Giordano S. From single- to multi-target drugs in cancer therapy: when aspecificity becomes an advantage. Curr Med Chem 2008, 15:422-432.
    • (2008) Curr Med Chem , vol.15 , pp. 422-432
    • Petrelli, A.1    Giordano, S.2
  • 20
    • 27144503431 scopus 로고    scopus 로고
    • G-protein-coupled receptor affinity prediction based on the use of a profiling dataset: QSAR design, synthesis, and experimental validation
    • Rolland C., Gozalbes R., Nicolai E., Paugam M.F., Coussy L., Barbosa F., et al. G-protein-coupled receptor affinity prediction based on the use of a profiling dataset: QSAR design, synthesis, and experimental validation. J Med Chem 2005, 48:6563-6574.
    • (2005) J Med Chem , vol.48 , pp. 6563-6574
    • Rolland, C.1    Gozalbes, R.2    Nicolai, E.3    Paugam, M.F.4    Coussy, L.5    Barbosa, F.6
  • 21
    • 84873093154 scopus 로고    scopus 로고
    • ChEMBL database, Accessible at
    • ChEMBL database Accessible at. http://www.ebi.ac.uk/chembl/.
  • 22
    • 84984766385 scopus 로고    scopus 로고
    • Databases: compound bioactivities go public
    • Bender A. Databases: compound bioactivities go public. Nat Chem Biol 2010, 6:309.
    • (2010) Nat Chem Biol , vol.6 , pp. 309
    • Bender, A.1
  • 23
    • 67849104638 scopus 로고    scopus 로고
    • PubChem: a public information system for analyzing bioactivities of small molecules
    • Wang Y., Xiao J., Suzek T.O., Zhang J., Wang J., Bryant S.H. PubChem: a public information system for analyzing bioactivities of small molecules. Nucleic Acids Res 2009, 37:W623-W633.
    • (2009) Nucleic Acids Res , vol.37
    • Wang, Y.1    Xiao, J.2    Suzek, T.O.3    Zhang, J.4    Wang, J.5    Bryant, S.H.6
  • 25
    • 33846518797 scopus 로고    scopus 로고
    • In silico target fishing: predicting biological targets from chemical structure
    • Jenkins J.L., Bender A., Davies J.W. In silico target fishing: predicting biological targets from chemical structure. Drug DiscovToday: Technol 2007, 3:413-421.
    • (2007) Drug DiscovToday: Technol , vol.3 , pp. 413-421
    • Jenkins, J.L.1    Bender, A.2    Davies, J.W.3
  • 27
    • 77956651201 scopus 로고    scopus 로고
    • Biochemical network-based drug-target prediction
    • Klipp E., Wade R.C., Kummer U. Biochemical network-based drug-target prediction. Curr Opin Biotechnol 2010, 21:511-516.
    • (2010) Curr Opin Biotechnol , vol.21 , pp. 511-516
    • Klipp, E.1    Wade, R.C.2    Kummer, U.3
  • 28
    • 42449146190 scopus 로고    scopus 로고
    • Public chemical compound databases
    • Williams A.J. Public chemical compound databases. Curr Opin Drug Discov Devel 2008, 11:393-404.
    • (2008) Curr Opin Drug Discov Devel , vol.11 , pp. 393-404
    • Williams, A.J.1
  • 30
    • 77953907294 scopus 로고    scopus 로고
    • Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data
    • Chen B., Dong X., Jiao D., Wang H., Zhu Q., Ding Y., et al. Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data. BMC Bioinformatics 2010, 11:255.
    • (2010) BMC Bioinformatics , vol.11 , pp. 255
    • Chen, B.1    Dong, X.2    Jiao, D.3    Wang, H.4    Zhu, Q.5    Ding, Y.6
  • 32
    • 77952767685 scopus 로고    scopus 로고
    • A semantic web ontology for small molecules and their biological targets
    • Choi J., Davis M.J., Newman A.F., Ragan M.A. A semantic web ontology for small molecules and their biological targets. J Chem Inf Model 2010, 50:732-741.
    • (2010) J Chem Inf Model , vol.50 , pp. 732-741
    • Choi, J.1    Davis, M.J.2    Newman, A.F.3    Ragan, M.A.4
  • 34
    • 10344230435 scopus 로고    scopus 로고
    • Molecular similarity: a key technique in molecular informatics
    • Bender A., Glen R.C. Molecular similarity: a key technique in molecular informatics. Org Biomol Chem 2004, 2:3204-3218.
    • (2004) Org Biomol Chem , vol.2 , pp. 3204-3218
    • Bender, A.1    Glen, R.C.2
  • 35
    • 0037068532 scopus 로고    scopus 로고
    • Do structurally similar molecules have similar biological activity?
    • Martin Y.C., Kofron J.L., Traphagen L.M. Do structurally similar molecules have similar biological activity?. J Med Chem 2002, 45:4350-4358.
    • (2002) J Med Chem , vol.45 , pp. 4350-4358
    • Martin, Y.C.1    Kofron, J.L.2    Traphagen, L.M.3
  • 36
    • 77952780755 scopus 로고    scopus 로고
    • Large-scale systematic analysis of 2D fingerprint methods and parameters to improve virtual screening enrichments
    • Sastry M., Lowrie J.F., Dixon S.L., Sherman W. Large-scale systematic analysis of 2D fingerprint methods and parameters to improve virtual screening enrichments. J Chem Inf Model 2010, 50:771-784.
    • (2010) J Chem Inf Model , vol.50 , pp. 771-784
    • Sastry, M.1    Lowrie, J.F.2    Dixon, S.L.3    Sherman, W.4
  • 37
    • 61949166066 scopus 로고    scopus 로고
    • How similar are similarity searching methods? A principal component analysis of molecular descriptor space
    • Bender A., Jenkins J.L., Scheiber J., Sukuru S.C., Glick M., Davies J.W. How similar are similarity searching methods? A principal component analysis of molecular descriptor space. J Chem Inf Model 2009, 49:108-119.
    • (2009) J Chem Inf Model , vol.49 , pp. 108-119
    • Bender, A.1    Jenkins, J.L.2    Scheiber, J.3    Sukuru, S.C.4    Glick, M.5    Davies, J.W.6
  • 38
    • 78649358317 scopus 로고    scopus 로고
    • How similar are those molecules after all? Use two descriptors and you will have three different answers
    • Bender A. How similar are those molecules after all? Use two descriptors and you will have three different answers. Exp Op Drug Disc 2010, 5:1141-1151.
    • (2010) Exp Op Drug Disc , vol.5 , pp. 1141-1151
    • Bender, A.1
  • 39
    • 33846108633 scopus 로고    scopus 로고
    • BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities
    • Liu T., Lin Y., Wen X., Jorissen R.N., Gilson M.K. BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities. Nucleic Acids Res 2007, 35:D198-D201.
    • (2007) Nucleic Acids Res , vol.35
    • Liu, T.1    Lin, Y.2    Wen, X.3    Jorissen, R.N.4    Gilson, M.K.5
  • 40
    • 33745391215 scopus 로고    scopus 로고
    • Prediction of biological targets for compounds using multiple-category Bayesian models trained on chemogenomics databases
    • Nidhi, Glick M., Davies J.W., Jenkins J.L. Prediction of biological targets for compounds using multiple-category Bayesian models trained on chemogenomics databases. J Chem Inf Model 2006, 46:1124-1133.
    • (2006) J Chem Inf Model , vol.46 , pp. 1124-1133
    • Nidhi1    Glick, M.2    Davies, J.W.3    Jenkins, J.L.4
  • 41
    • 1842690601 scopus 로고    scopus 로고
    • Molecular similarity searching using atom environments, information-based feature selection, and a naive Bayesian classifier
    • Bender A., Mussa H.Y., Glen R.C., Reiling S. Molecular similarity searching using atom environments, information-based feature selection, and a naive Bayesian classifier. J Chem Inf Comput Sci 2004, 44:170-178.
    • (2004) J Chem Inf Comput Sci , vol.44 , pp. 170-178
    • Bender, A.1    Mussa, H.Y.2    Glen, R.C.3    Reiling, S.4
  • 42
    • 58149116805 scopus 로고    scopus 로고
    • Ligand-target prediction using Winnow and naive Bayesian algorithms and the implications of overall performance statistics
    • Nigsch F., Bender A., Jenkins J.L., Mitchell J.B. Ligand-target prediction using Winnow and naive Bayesian algorithms and the implications of overall performance statistics. J Chem Inf Model 2008, 48:2313-2325.
    • (2008) J Chem Inf Model , vol.48 , pp. 2313-2325
    • Nigsch, F.1    Bender, A.2    Jenkins, J.L.3    Mitchell, J.B.4
  • 45
  • 46
    • 70350512851 scopus 로고    scopus 로고
    • Target fishing for chemical compounds using target-ligand activity data and ranking based methods
    • Wale N., Karypis G. Target fishing for chemical compounds using target-ligand activity data and ranking based methods. J Chem Inf Model 2009, 49:2190-2201.
    • (2009) J Chem Inf Model , vol.49 , pp. 2190-2201
    • Wale, N.1    Karypis, G.2
  • 49
    • 33748751182 scopus 로고    scopus 로고
    • Chemogenomics: structuring the drug discovery process to gene families
    • Harris C.J., Stevens A.P. Chemogenomics: structuring the drug discovery process to gene families. Drug Discov Today 2006, 11:880-888.
    • (2006) Drug Discov Today , vol.11 , pp. 880-888
    • Harris, C.J.1    Stevens, A.P.2
  • 50
    • 70450199467 scopus 로고    scopus 로고
    • Chemogenomic strategies to expand the bioactive chemical space
    • Jacoby E., Mozzarelli A. Chemogenomic strategies to expand the bioactive chemical space. Curr Med Chem 2009, 16:4374-4381.
    • (2009) Curr Med Chem , vol.16 , pp. 4374-4381
    • Jacoby, E.1    Mozzarelli, A.2
  • 51
    • 4043121114 scopus 로고    scopus 로고
    • Computational chemogenomics approaches to systematic knowledge-based drug discovery
    • Mestres J. Computational chemogenomics approaches to systematic knowledge-based drug discovery. Curr Opin Drug Discov Devel 2004, 7:304-313.
    • (2004) Curr Opin Drug Discov Devel , vol.7 , pp. 304-313
    • Mestres, J.1
  • 52
    • 65249169368 scopus 로고    scopus 로고
    • Substructure mining of GPCR ligands reveals activity-class specific functional groups in an unbiased manner
    • van der Horst E., Okuno Y., Bender A., AP I.J. Substructure mining of GPCR ligands reveals activity-class specific functional groups in an unbiased manner. J Chem Inf Model 2009, 49:348-360.
    • (2009) J Chem Inf Model , vol.49 , pp. 348-360
    • van der Horst, E.1    Okuno, Y.2    Bender, A.3    Ap, I.J.4
  • 53
    • 77953235731 scopus 로고    scopus 로고
    • A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization
    • van der Horst E., Peironcely J.E., Ijzerman A.P., Beukers M.W., Lane J.R., van Vlijmen H.W., et al. A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization. BMC Bioinformatics 2010, 11:316.
    • (2010) BMC Bioinformatics , vol.11 , pp. 316
    • van der Horst, E.1    Peironcely, J.E.2    Ijzerman, A.P.3    Beukers, M.W.4    Lane, J.R.5    van Vlijmen, H.W.6
  • 54
    • 52749098733 scopus 로고    scopus 로고
    • Virtual screening of GPCRs: an in silico chemogenomics approach
    • Jacob L., Hoffmann B., Stoven V., Vert J.P. Virtual screening of GPCRs: an in silico chemogenomics approach. BMC Bioinformatics 2008, 9:363.
    • (2008) BMC Bioinformatics , vol.9 , pp. 363
    • Jacob, L.1    Hoffmann, B.2    Stoven, V.3    Vert, J.P.4
  • 55
    • 77955628292 scopus 로고    scopus 로고
    • Network-based relating pharmacological and genomic spaces for drug target identification
    • Zhao S, Li S. Network-based relating pharmacological and genomic spaces for drug target identification. PLoS One.5:e11764.
    • PLoS One , vol.5
    • Zhao, S.1    Li, S.2
  • 56
    • 66149131771 scopus 로고    scopus 로고
    • Development and validation of a novel protein-ligand fingerprint to mine chemogenomic space: application to G protein-coupled receptors and their ligands
    • Weill N., Rognan D. Development and validation of a novel protein-ligand fingerprint to mine chemogenomic space: application to G protein-coupled receptors and their ligands. J Chem Inf Model 2009, 49:1049-1062.
    • (2009) J Chem Inf Model , vol.49 , pp. 1049-1062
    • Weill, N.1    Rognan, D.2
  • 57
    • 33746862161 scopus 로고    scopus 로고
    • SHED: Shannon entropy descriptors from topological feature distributions
    • Gregori-Puigjane E., Mestres J. SHED: Shannon entropy descriptors from topological feature distributions. J Chem Inf Model 2006, 46:1615-1622.
    • (2006) J Chem Inf Model , vol.46 , pp. 1615-1622
    • Gregori-Puigjane, E.1    Mestres, J.2
  • 59
    • 51349130206 scopus 로고    scopus 로고
    • A ligand-based approach to mining the chemogenomic space of drugs
    • Gregori-Puigjane E., Mestres J. A ligand-based approach to mining the chemogenomic space of drugs. Comb Chem High Throughput Screen 2008, 11:669-676.
    • (2008) Comb Chem High Throughput Screen , vol.11 , pp. 669-676
    • Gregori-Puigjane, E.1    Mestres, J.2
  • 60
    • 79952177504 scopus 로고    scopus 로고
    • Combining horizontal and vertical substructure relationships in scaffold hierarchies for activity prediction
    • Hu Y., Bajorath J. Combining horizontal and vertical substructure relationships in scaffold hierarchies for activity prediction. J Chem Inf Model 2011, 51:248-257.
    • (2011) J Chem Inf Model , vol.51 , pp. 248-257
    • Hu, Y.1    Bajorath, J.2
  • 61
    • 0016354572 scopus 로고
    • Method for relating the structure and properties of chemical compounds
    • Adamson G.W., Bush J.A. Method for relating the structure and properties of chemical compounds. Nature 1974, 248:406-407.
    • (1974) Nature , vol.248 , pp. 406-407
    • Adamson, G.W.1    Bush, J.A.2
  • 62
    • 77952004276 scopus 로고    scopus 로고
    • Accelrys, San Diego
    • PipelinePilot 2007, Accelrys, San Diego.
    • (2007) PipelinePilot
  • 63
    • 63049086100 scopus 로고    scopus 로고
    • Accessing target information by virtual parallel screening-the impact on natural product research
    • Rollinger J.M. Accessing target information by virtual parallel screening-the impact on natural product research. Phytochem Lett 2009, 2:53-58.
    • (2009) Phytochem Lett , vol.2 , pp. 53-58
    • Rollinger, J.M.1
  • 64
    • 84873084602 scopus 로고    scopus 로고
    • KNIME, Knime.com, Zurich, Switzerland.
    • KNIME, Knime.com, Zurich, Switzerland.
  • 65
    • 84873098088 scopus 로고    scopus 로고
    • Inte:Ligand PharmacophoreDB, Inte:Ligand, Vienna, Austria.
    • Inte:Ligand PharmacophoreDB, Inte:Ligand, Vienna, Austria.
  • 66
    • 13844320566 scopus 로고    scopus 로고
    • LigandScout: 3-D pharmacophores derived from protein-bound ligands and their use as virtual screening filters
    • Wolber G., Langer T. LigandScout: 3-D pharmacophores derived from protein-bound ligands and their use as virtual screening filters. J Chem Inf Model 2005, 45:160-169.
    • (2005) J Chem Inf Model , vol.45 , pp. 160-169
    • Wolber, G.1    Langer, T.2
  • 67
    • 77955714084 scopus 로고    scopus 로고
    • So you think you understand tautomerism?
    • Sayle R.A. So you think you understand tautomerism?. J Comput Aided Mol Des 2010, 24:485-496.
    • (2010) J Comput Aided Mol Des , vol.24 , pp. 485-496
    • Sayle, R.A.1
  • 68
    • 77954264038 scopus 로고    scopus 로고
    • PharmMapper server: a web server for potential drug target identification using pharmacophore mapping approach
    • Liu X., Ouyang S., Yu B., Liu Y., Huang K., Gong J., et al. PharmMapper server: a web server for potential drug target identification using pharmacophore mapping approach. Nucleic Acids Res 2010, 38:W609-W614.
    • (2010) Nucleic Acids Res , vol.38
    • Liu, X.1    Ouyang, S.2    Yu, B.3    Liu, Y.4    Huang, K.5    Gong, J.6
  • 69
    • 33750994920 scopus 로고    scopus 로고
    • Bridging chemical and biological space: "target fishing" using 2D and 3D molecular descriptors
    • Nettles J.H., Jenkins J.L., Bender A., Deng Z., Davies J.W., Glick M. Bridging chemical and biological space: "target fishing" using 2D and 3D molecular descriptors. J Med Chem 2006, 49:6802-6810.
    • (2006) J Med Chem , vol.49 , pp. 6802-6810
    • Nettles, J.H.1    Jenkins, J.L.2    Bender, A.3    Deng, Z.4    Davies, J.W.5    Glick, M.6
  • 71
    • 79953212647 scopus 로고    scopus 로고
    • ReverseScreen3D: a structure-based ligand matching method to identify protein targets
    • Kinnings S.L., Jackson R.M. ReverseScreen3D: a structure-based ligand matching method to identify protein targets. J Chem Inf Model 2011, 51:624-634.
    • (2011) J Chem Inf Model , vol.51 , pp. 624-634
    • Kinnings, S.L.1    Jackson, R.M.2
  • 72
    • 66749165862 scopus 로고    scopus 로고
    • Use of ligand based models for protein domains to predict novel molecular targets and applications to triage affinity chromatography data
    • Bender A., Mikhailov D., Glick M., Scheiber J., Davies J.W., Cleaver S., et al. Use of ligand based models for protein domains to predict novel molecular targets and applications to triage affinity chromatography data. J Proteome Res 2009, 8:2575-2585.
    • (2009) J Proteome Res , vol.8 , pp. 2575-2585
    • Bender, A.1    Mikhailov, D.2    Glick, M.3    Scheiber, J.4    Davies, J.W.5    Cleaver, S.6
  • 73
    • 67049158003 scopus 로고    scopus 로고
    • Fishing the target of antitubercular compounds: in silico target deconvolution model development and validation
    • Prathipati P., Ma N.L., Manjunatha U.H., Bender A. Fishing the target of antitubercular compounds: in silico target deconvolution model development and validation. J Proteome Res 2009, 8:2788-2798.
    • (2009) J Proteome Res , vol.8 , pp. 2788-2798
    • Prathipati, P.1    Ma, N.L.2    Manjunatha, U.H.3    Bender, A.4
  • 74
    • 57549114279 scopus 로고    scopus 로고
    • Interaction model based on local protein substructures generalizes to the entire structural enzyme-ligand space
    • Strombergsson H., Daniluk P., Kryshtafovych A., Fidelis K., Wikberg J.E., Kleywegt G.J., et al. Interaction model based on local protein substructures generalizes to the entire structural enzyme-ligand space. J Chem Inf Model 2008, 48:2278-2288.
    • (2008) J Chem Inf Model , vol.48 , pp. 2278-2288
    • Strombergsson, H.1    Daniluk, P.2    Kryshtafovych, A.3    Fidelis, K.4    Wikberg, J.E.5    Kleywegt, G.J.6
  • 75
    • 79952520897 scopus 로고    scopus 로고
    • Proteochemometric modeling as a tool for designing selective compounds and extrapolating to novel targets
    • van Westen G.J.P., Wegner J.K., IJzerman A.P., Van Vlijmen H.W.T., Bender A. Proteochemometric modeling as a tool for designing selective compounds and extrapolating to novel targets. Med Chem Commun 2010, 2:16-30.
    • (2010) Med Chem Commun , vol.2 , pp. 16-30
    • van Westen, G.J.P.1    Wegner, J.K.2    Ijzerman, A.P.3    Van Vlijmen, H.W.T.4    Bender, A.5
  • 76
    • 0035895752 scopus 로고    scopus 로고
    • Development of proteo-chemometrics: a novel technology for the analysis of drug-receptor interactions
    • Lapinsh M., Prusis P., Gutcaits A., Lundstedt T., Wikberg J.E.S. Development of proteo-chemometrics: a novel technology for the analysis of drug-receptor interactions. Biochim Biophys Acta-Gen Subj 2001, 1525:180-190.
    • (2001) Biochim Biophys Acta-Gen Subj , vol.1525 , pp. 180-190
    • Lapinsh, M.1    Prusis, P.2    Gutcaits, A.3    Lundstedt, T.4    Wikberg, J.E.S.5
  • 77
    • 38349114038 scopus 로고    scopus 로고
    • Genome scale enzyme-metabolite and drug-target interaction predictions using the signature molecular descriptor
    • Faulon J.L., Misra M., Martin S., Sale K., Sapra R. Genome scale enzyme-metabolite and drug-target interaction predictions using the signature molecular descriptor. Bioinformatics 2008, 24:225-233.
    • (2008) Bioinformatics , vol.24 , pp. 225-233
    • Faulon, J.L.1    Misra, M.2    Martin, S.3    Sale, K.4    Sapra, R.5
  • 78
    • 77952683248 scopus 로고    scopus 로고
    • Structure-based approaches to target fishing and ligand profiling
    • Rognan D. Structure-based approaches to target fishing and ligand profiling. Mol Inf 2010, 29:176-187.
    • (2010) Mol Inf , vol.29 , pp. 176-187
    • Rognan, D.1
  • 79
    • 0041973445 scopus 로고    scopus 로고
    • Can an in silico drug-target search method be used to probe potential mechanisms of medicinal plant ingredients?
    • Chen X., Ung C.Y., Chen Y.Z. Can an in silico drug-target search method be used to probe potential mechanisms of medicinal plant ingredients?. Nat Prod Rep 2003, 20:432-444.
    • (2003) Nat Prod Rep , vol.20 , pp. 432-444
    • Chen, X.1    Ung, C.Y.2    Chen, Y.Z.3
  • 80
    • 40549130652 scopus 로고    scopus 로고
    • PDTD: a web-accessible protein database for drug target identification
    • Gao Z., Li H., Zhang H., Liu X., Kang L., Luo X., et al. PDTD: a web-accessible protein database for drug target identification. BMC Bioinformatics 2008, 9:104.
    • (2008) BMC Bioinformatics , vol.9 , pp. 104
    • Gao, Z.1    Li, H.2    Zhang, H.3    Liu, X.4    Kang, L.5    Luo, X.6
  • 81
    • 4544367743 scopus 로고    scopus 로고
    • Comparative evaluation of eight docking tools for docking and virtual screening accuracy
    • Kellenberger E., Rodrigo J., Muller P., Rognan D. Comparative evaluation of eight docking tools for docking and virtual screening accuracy. Proteins 2004, 57:225-242.
    • (2004) Proteins , vol.57 , pp. 225-242
    • Kellenberger, E.1    Rodrigo, J.2    Muller, P.3    Rognan, D.4
  • 82
    • 3543002852 scopus 로고    scopus 로고
    • Ligand selectivity and competition between enzymes in silico
    • Macchiarulo A., Nobeli I., Thornton J.M. Ligand selectivity and competition between enzymes in silico. Nat Biotechnol 2004, 22:1039-1045.
    • (2004) Nat Biotechnol , vol.22 , pp. 1039-1045
    • Macchiarulo, A.1    Nobeli, I.2    Thornton, J.M.3
  • 84
    • 0035143024 scopus 로고    scopus 로고
    • The configurational dependence of binding free energies: a Poisson-Boltzmann study of Neuraminidase inhibitors
    • Woods C.J., King M.A., Essex J.W. The configurational dependence of binding free energies: a Poisson-Boltzmann study of Neuraminidase inhibitors. J Comput Aided Mol Des 2001, 15:129-144.
    • (2001) J Comput Aided Mol Des , vol.15 , pp. 129-144
    • Woods, C.J.1    King, M.A.2    Essex, J.W.3
  • 85
    • 0036725277 scopus 로고    scopus 로고
    • Molecular dynamics simulations of biomolecules
    • Karplus M., McCammon J.A. Molecular dynamics simulations of biomolecules. Nat Struct Biol 2002, 9:646-652.
    • (2002) Nat Struct Biol , vol.9 , pp. 646-652
    • Karplus, M.1    McCammon, J.A.2
  • 86
    • 7044239742 scopus 로고
    • Free energy calculations: applications to chemical and biochemical phenomena
    • Kollman P. Free energy calculations: applications to chemical and biochemical phenomena. Chem Rev 1993, 93:2395-2417.
    • (1993) Chem Rev , vol.93 , pp. 2395-2417
    • Kollman, P.1
  • 87
    • 34548703110 scopus 로고    scopus 로고
    • Alchemical free energy calculations: ready for prime time?
    • Shirts M.R., Mobley D.L., Chodera J.D. Alchemical free energy calculations: ready for prime time?. Ann Rep Comp Chem 2007, 3:41-59.
    • (2007) Ann Rep Comp Chem , vol.3 , pp. 41-59
    • Shirts, M.R.1    Mobley, D.L.2    Chodera, J.D.3
  • 88
    • 34547521939 scopus 로고    scopus 로고
    • Free energy calculations in biological systems. How useful are they in practice?
    • Chipot C. Free energy calculations in biological systems. How useful are they in practice?. Lect Notes Comput Sci Eng 2006, 49:185-211.
    • (2006) Lect Notes Comput Sci Eng , vol.49 , pp. 185-211
    • Chipot, C.1
  • 89
    • 40049100210 scopus 로고    scopus 로고
    • Analysis of pharmacology data and the prediction of adverse drug reactions and off-target effects from chemical structure
    • Bender A., Scheiber J., Glick M., Davies J.W., Azzaoui K., Hamon J., et al. Analysis of pharmacology data and the prediction of adverse drug reactions and off-target effects from chemical structure. ChemMedChem 2007, 2:861-873.
    • (2007) ChemMedChem , vol.2 , pp. 861-873
    • Bender, A.1    Scheiber, J.2    Glick, M.3    Davies, J.W.4    Azzaoui, K.5    Hamon, J.6
  • 90
    • 77952664105 scopus 로고    scopus 로고
    • Self-organizing molecular fingerprints: a ligand-based view on drug-like chemical space and off-target prediction
    • Schneider G., Tanrikulu Y., Schneider P. Self-organizing molecular fingerprints: a ligand-based view on drug-like chemical space and off-target prediction. Future Med Chem 2009, 1:213-218.
    • (2009) Future Med Chem , vol.1 , pp. 213-218
    • Schneider, G.1    Tanrikulu, Y.2    Schneider, P.3
  • 91
    • 0035237681 scopus 로고    scopus 로고
    • Top 200 medicines: can new actions be discovered through computer-aided prediction?
    • Poroikov V., Akimov D., Shabelnikova E., Filimonov D. Top 200 medicines: can new actions be discovered through computer-aided prediction?. SAR QSAR Environ Res 2001, 12:327-344.
    • (2001) SAR QSAR Environ Res , vol.12 , pp. 327-344
    • Poroikov, V.1    Akimov, D.2    Shabelnikova, E.3    Filimonov, D.4
  • 92
    • 2442652804 scopus 로고    scopus 로고
    • Design of new cognition enhancers: from computer prediction to synthesis and biological evaluation
    • Geronikaki A.A., Dearden J.C., Filimonov D., Galaeva I., Garibova T.L., Gloriozova T., et al. Design of new cognition enhancers: from computer prediction to synthesis and biological evaluation. J Med Chem 2004, 47:2870-2876.
    • (2004) J Med Chem , vol.47 , pp. 2870-2876
    • Geronikaki, A.A.1    Dearden, J.C.2    Filimonov, D.3    Galaeva, I.4    Garibova, T.L.5    Gloriozova, T.6
  • 93
    • 34547697192 scopus 로고    scopus 로고
    • Understanding false positives in reporter gene assays: in silico chemogenomics approaches to prioritize cell-based HTS data
    • Crisman T.J., Parker C.N., Jenkins J.L., Scheiber J., Thoma M., Kang Z.B., et al. Understanding false positives in reporter gene assays: in silico chemogenomics approaches to prioritize cell-based HTS data. J Chem Inf Model 2007, 47:1319-1327.
    • (2007) J Chem Inf Model , vol.47 , pp. 1319-1327
    • Crisman, T.J.1    Parker, C.N.2    Jenkins, J.L.3    Scheiber, J.4    Thoma, M.5    Kang, Z.B.6
  • 94
    • 37249026328 scopus 로고    scopus 로고
    • Integrating high-content screening and ligand-target prediction to identify mechanism of action
    • Young D.W., Bender A., Hoyt J., McWhinnie E., Chirn G.W., Tao C.Y., et al. Integrating high-content screening and ligand-target prediction to identify mechanism of action. Nat Chem Biol 2008, 4:59-68.
    • (2008) Nat Chem Biol , vol.4 , pp. 59-68
    • Young, D.W.1    Bender, A.2    Hoyt, J.3    McWhinnie, E.4    Chirn, G.W.5    Tao, C.Y.6
  • 95
    • 67650070045 scopus 로고    scopus 로고
    • Multi-parameter phenotypic profiling: using cellular effects to characterize small-molecule compounds
    • Feng Y., Mitchison T.J., Bender A., Young D.W., Tallarico J.A. Multi-parameter phenotypic profiling: using cellular effects to characterize small-molecule compounds. Nat Rev Drug Discov 2009, 8:567-578.
    • (2009) Nat Rev Drug Discov , vol.8 , pp. 567-578
    • Feng, Y.1    Mitchison, T.J.2    Bender, A.3    Young, D.W.4    Tallarico, J.A.5
  • 96
    • 67649095757 scopus 로고    scopus 로고
    • Computational methods to support high-content screening: from compound selection and data analysis to postulating target hypotheses
    • Kummel A., Gabriel D., Parker C.N., Bender A. Computational methods to support high-content screening: from compound selection and data analysis to postulating target hypotheses. Exp Op Drug Disc 2009, 4:5-13.
    • (2009) Exp Op Drug Disc , vol.4 , pp. 5-13
    • Kummel, A.1    Gabriel, D.2    Parker, C.N.3    Bender, A.4
  • 97
    • 2542477991 scopus 로고    scopus 로고
    • Screening the receptorome to discover the molecular targets for plant-derived psychoactive compounds: a novel approach for CNS drug discovery
    • Roth B.L., Lopez E., Beischel S., Westkaemper R.B., Evans J.M. Screening the receptorome to discover the molecular targets for plant-derived psychoactive compounds: a novel approach for CNS drug discovery. Pharmacol Ther 2004, 102:99-110.
    • (2004) Pharmacol Ther , vol.102 , pp. 99-110
    • Roth, B.L.1    Lopez, E.2    Beischel, S.3    Westkaemper, R.B.4    Evans, J.M.5
  • 98
    • 77956837481 scopus 로고    scopus 로고
    • In silico receptorome screening of antipsychotic drugs
    • Vidal D., Mestres J. In silico receptorome screening of antipsychotic drugs. Mol Inf 2010, 29:543-551.
    • (2010) Mol Inf , vol.29 , pp. 543-551
    • Vidal, D.1    Mestres, J.2
  • 99
    • 78049518795 scopus 로고    scopus 로고
    • Multi-targeted natural products evaluation based on biological activity prediction with PASS
    • Lagunin A., Filimonov D., Poroikov V. Multi-targeted natural products evaluation based on biological activity prediction with PASS. Curr Pharm Des 2010, 16:1703-1717.
    • (2010) Curr Pharm Des , vol.16 , pp. 1703-1717
    • Lagunin, A.1    Filimonov, D.2    Poroikov, V.3
  • 100
    • 58149099516 scopus 로고    scopus 로고
    • In silico functional profiling of small molecules and its applications
    • Sato T., Matsuo Y., Honma T., Yokoyama S. In silico functional profiling of small molecules and its applications. J Med Chem 2008, 51:7705-7716.
    • (2008) J Med Chem , vol.51 , pp. 7705-7716
    • Sato, T.1    Matsuo, Y.2    Honma, T.3    Yokoyama, S.4
  • 101
    • 77950448057 scopus 로고    scopus 로고
    • Predicting drug-target interaction networks based on functional groups and biological features
    • He Z., Zhang J., Shi X.H., Hu L.L., Kong X., Cai Y.D., et al. Predicting drug-target interaction networks based on functional groups and biological features. PLoS One 2010, 5:e9603.
    • (2010) PLoS One , vol.5
    • He, Z.1    Zhang, J.2    Shi, X.H.3    Hu, L.L.4    Kong, X.5    Cai, Y.D.6
  • 102
    • 69849094133 scopus 로고    scopus 로고
    • Supervised prediction of drug-target interactions using bipartite local models
    • Bleakley K., Yamanishi Y. Supervised prediction of drug-target interactions using bipartite local models. Bioinformatics 2009, 25:2397-2403.
    • (2009) Bioinformatics , vol.25 , pp. 2397-2403
    • Bleakley, K.1    Yamanishi, Y.2
  • 103
    • 77952351365 scopus 로고    scopus 로고
    • Prediction of interactiveness between small molecules and enzymes by combining gene ontology and compound similarity
    • Chen L., Qian Z., Fen K., Cai Y. Prediction of interactiveness between small molecules and enzymes by combining gene ontology and compound similarity. J Comput Chem 2010, 31:1766-1776.
    • (2010) J Comput Chem , vol.31 , pp. 1766-1776
    • Chen, L.1    Qian, Z.2    Fen, K.3    Cai, Y.4
  • 104
    • 78650750102 scopus 로고    scopus 로고
    • 3D pharmacophores as tools for activity profiling
    • Schuster D. 3D pharmacophores as tools for activity profiling. Drug Disc Today: Technol 2010, 7:e205-e211.
    • (2010) Drug Disc Today: Technol , vol.7
    • Schuster, D.1
  • 105
    • 33750339874 scopus 로고    scopus 로고
    • Parallel screening: a novel concept in pharmacophore modeling and virtual screening
    • Steindl T.M., Schuster D., Laggner C., Langer T. Parallel screening: a novel concept in pharmacophore modeling and virtual screening. J Chem Inf Model 2006, 46:2146-2157.
    • (2006) J Chem Inf Model , vol.46 , pp. 2146-2157
    • Steindl, T.M.1    Schuster, D.2    Laggner, C.3    Langer, T.4
  • 106
  • 107
    • 33645822986 scopus 로고    scopus 로고
    • Development and validation of an in silico P450 profiler based on pharmacophore models
    • Schuster D., Laggner C., Steindl T.M., Langer T. Development and validation of an in silico P450 profiler based on pharmacophore models. Curr Drug Discov Technol 2006, 3:1-48.
    • (2006) Curr Drug Discov Technol , vol.3 , pp. 1-48
    • Schuster, D.1    Laggner, C.2    Steindl, T.M.3    Langer, T.4
  • 108
    • 78650721695 scopus 로고    scopus 로고
    • Predicting cyclooxygenase inhibition by three-dimensional pharmacophoric profiling. Part II: identification of enzyme inhibitors from Prasaplai, a Thai traditional medicine
    • Waltenberger B., Schuster D., Paramapojn S., Gritsanapan W., Wolber G., Rollinger J.M., et al. Predicting cyclooxygenase inhibition by three-dimensional pharmacophoric profiling. Part II: identification of enzyme inhibitors from Prasaplai, a Thai traditional medicine. Phytomedicine 2010, 18:119-133.
    • (2010) Phytomedicine , vol.18 , pp. 119-133
    • Waltenberger, B.1    Schuster, D.2    Paramapojn, S.3    Gritsanapan, W.4    Wolber, G.5    Rollinger, J.M.6
  • 109
    • 77649236726 scopus 로고    scopus 로고
    • In silico search for multi-target anti-inflammatories in Chinese herbs and formulas
    • Ehrman T.M., Barlow D.J., Hylands P.J. In silico search for multi-target anti-inflammatories in Chinese herbs and formulas. Bioorg Med Chem 2010, 18:2204-2218.
    • (2010) Bioorg Med Chem , vol.18 , pp. 2204-2218
    • Ehrman, T.M.1    Barlow, D.J.2    Hylands, P.J.3
  • 110
    • 64549138026 scopus 로고    scopus 로고
    • In silico target fishing for rationalized ligand discovery exemplified on constituents of Ruta graveolens
    • Rollinger J.M., Schuster D., Danzl B., Schwaiger S., Markt P., Schmidtke M., et al. In silico target fishing for rationalized ligand discovery exemplified on constituents of Ruta graveolens. Planta Med 2009, 75:195-204.
    • (2009) Planta Med , vol.75 , pp. 195-204
    • Rollinger, J.M.1    Schuster, D.2    Danzl, B.3    Schwaiger, S.4    Markt, P.5    Schmidtke, M.6
  • 111
    • 33750712502 scopus 로고    scopus 로고
    • In silico-guided target identification of a scaffold-focused library: 1,3,5-triazepan-2,6-diones as novel phospholipase A2 inhibitors
    • Muller P., Lena G., Boilard E., Bezzine S., Lambeau G., Guichard G., et al. In silico-guided target identification of a scaffold-focused library: 1,3,5-triazepan-2,6-diones as novel phospholipase A2 inhibitors. J Med Chem 2006, 49:6768-6778.
    • (2006) J Med Chem , vol.49 , pp. 6768-6778
    • Muller, P.1    Lena, G.2    Boilard, E.3    Bezzine, S.4    Lambeau, G.5    Guichard, G.6
  • 112
    • 33845618105 scopus 로고    scopus 로고
    • Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation
    • Chen X., Zhou H., Liu Y.B., Wang J.F., Li H., Ung C.Y., et al. Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation. Br J Pharmacol 2006, 149:1092-1103.
    • (2006) Br J Pharmacol , vol.149 , pp. 1092-1103
    • Chen, X.1    Zhou, H.2    Liu, Y.B.3    Wang, J.F.4    Li, H.5    Ung, C.Y.6
  • 113
    • 0035217619 scopus 로고    scopus 로고
    • Prediction of potential toxicity and side effect protein targets of a small molecule by a ligand-protein inverse docking approach
    • Chen Y.Z., Ung C.Y. Prediction of potential toxicity and side effect protein targets of a small molecule by a ligand-protein inverse docking approach. J Mol Graph Model 2001, 20:199-218.
    • (2001) J Mol Graph Model , vol.20 , pp. 199-218
    • Chen, Y.Z.1    Ung, C.Y.2
  • 114
    • 0035342428 scopus 로고    scopus 로고
    • Ligand-protein inverse docking and its potential use in the computer search of protein targets of a small molecule
    • Chen Y.Z., Zhi D.G. Ligand-protein inverse docking and its potential use in the computer search of protein targets of a small molecule. Proteins 2001, 43:217-226.
    • (2001) Proteins , vol.43 , pp. 217-226
    • Chen, Y.Z.1    Zhi, D.G.2
  • 115
    • 36048962439 scopus 로고    scopus 로고
    • Inverse in silico screening for identification of kinase inhibitor targets
    • Zahler S., Tietze S., Totzke F., Kubbutat M., Meijer L., Vollmar A.M., et al. Inverse in silico screening for identification of kinase inhibitor targets. Chem Biol 2007, 14:1207-1214.
    • (2007) Chem Biol , vol.14 , pp. 1207-1214
    • Zahler, S.1    Tietze, S.2    Totzke, F.3    Kubbutat, M.4    Meijer, L.5    Vollmar, A.M.6
  • 117
    • 33646198766 scopus 로고    scopus 로고
    • In silico search of putative adverse drug reaction related proteins as a potential tool for facilitating drug adverse effect prediction
    • Ji Z.L., Wang Y., Yu L., Han L.Y., Zheng C.J., Chen Y.Z. In silico search of putative adverse drug reaction related proteins as a potential tool for facilitating drug adverse effect prediction. Toxicol Lett 2006, 164:104-112.
    • (2006) Toxicol Lett , vol.164 , pp. 104-112
    • Ji, Z.L.1    Wang, Y.2    Yu, L.3    Han, L.Y.4    Zheng, C.J.5    Chen, Y.Z.6
  • 119
    • 33749335282 scopus 로고    scopus 로고
    • The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease
    • Lamb J., Crawford E.D., Peck D., Modell J.W., Blat I.C., Wrobel M.J., et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science 2006, 313:1929-1935.
    • (2006) Science , vol.313 , pp. 1929-1935
    • Lamb, J.1    Crawford, E.D.2    Peck, D.3    Modell, J.W.4    Blat, I.C.5    Wrobel, M.J.6
  • 120
    • 77957556494 scopus 로고    scopus 로고
    • Predicting enzyme targets for cancer drugs by profiling human metabolic reactions in NCI-60 cell lines
    • Li L., Zhou X., Ching W.K., Wang P. Predicting enzyme targets for cancer drugs by profiling human metabolic reactions in NCI-60 cell lines. BMC Bioinformatics 2010, 11:501.
    • (2010) BMC Bioinformatics , vol.11 , pp. 501
    • Li, L.1    Zhou, X.2    Ching, W.K.3    Wang, P.4
  • 121
    • 34047174584 scopus 로고    scopus 로고
    • "Plate cherry picking": a novel semi-sequential screening paradigm for cheaper, faster, information-rich compound selection
    • Crisman T.J., Jenkins J.L., Parker C.N., Hill W.A., Bender A., Deng Z., et al. "Plate cherry picking": a novel semi-sequential screening paradigm for cheaper, faster, information-rich compound selection. J Biomol Screen 2007, 12:320-327.
    • (2007) J Biomol Screen , vol.12 , pp. 320-327
    • Crisman, T.J.1    Jenkins, J.L.2    Parker, C.N.3    Hill, W.A.4    Bender, A.5    Deng, Z.6
  • 123
    • 36749037830 scopus 로고    scopus 로고
    • Structure of the deacetylase LpxC bound to the antibiotic CHIR-090: time-dependent inhibition and specificity in ligand binding
    • Barb A.W., Jiang L., Raetz C.R., Zhou P. Structure of the deacetylase LpxC bound to the antibiotic CHIR-090: time-dependent inhibition and specificity in ligand binding. Proc Natl Acad Sci U S A 2007, 104:18433-18438.
    • (2007) Proc Natl Acad Sci U S A , vol.104 , pp. 18433-18438
    • Barb, A.W.1    Jiang, L.2    Raetz, C.R.3    Zhou, P.4
  • 124
    • 0042932146 scopus 로고    scopus 로고
    • A general analysis of field-based molecular similarity indices
    • Maggiora G.M., Petke J.D., Mestres J. A general analysis of field-based molecular similarity indices. J Math Chem 2002, 31:251-270.
    • (2002) J Math Chem , vol.31 , pp. 251-270
    • Maggiora, G.M.1    Petke, J.D.2    Mestres, J.3
  • 125
    • 33750986884 scopus 로고    scopus 로고
    • "Bayes Affinity Fingerprints" improve retrieval rates in virtual screening and define orthogonal bioactivity space: when are multitarget drugs a feasible concept?
    • Bender A., Jenkins J.L., Glick M., Deng Z., Nettles J.H., Davies J.W. "Bayes Affinity Fingerprints" improve retrieval rates in virtual screening and define orthogonal bioactivity space: when are multitarget drugs a feasible concept?. J Chem Inf Model 2006, 46:2445-2456.
    • (2006) J Chem Inf Model , vol.46 , pp. 2445-2456
    • Bender, A.1    Jenkins, J.L.2    Glick, M.3    Deng, Z.4    Nettles, J.H.5    Davies, J.W.6
  • 126
    • 33746931581 scopus 로고    scopus 로고
    • On outliers and activity cliffs-why QSAR often disappoints
    • Maggiora G.M. On outliers and activity cliffs-why QSAR often disappoints. J Chem Inf Model 2006, 46:1535.
    • (2006) J Chem Inf Model , vol.46 , pp. 1535
    • Maggiora, G.M.1
  • 130
    • 12244275244 scopus 로고    scopus 로고
    • Biological spectra analysis: linking biological activity profiles to molecular structure
    • Fliri A.F., Loging W.T., Thadeio P.F., Volkmann R.A. Biological spectra analysis: linking biological activity profiles to molecular structure. Proc Natl Acad Sci U S A 2005, 102:261-266.
    • (2005) Proc Natl Acad Sci U S A , vol.102 , pp. 261-266
    • Fliri, A.F.1    Loging, W.T.2    Thadeio, P.F.3    Volkmann, R.A.4
  • 131
    • 32344440237 scopus 로고    scopus 로고
    • Analysis of drug-induced effect patterns to link structure and side effects of medicines
    • Fliri A.F., Loging W.T., Thadeio P.F., Volkmann R.A. Analysis of drug-induced effect patterns to link structure and side effects of medicines. Nat Chem Biol 2005, 1:389-397.
    • (2005) Nat Chem Biol , vol.1 , pp. 389-397
    • Fliri, A.F.1    Loging, W.T.2    Thadeio, P.F.3    Volkmann, R.A.4
  • 132
    • 48249095940 scopus 로고    scopus 로고
    • In silico activity profiling reveals the mechanism of action of antimalarials discovered in a high-throughput screen
    • Plouffe D., Brinker A., McNamara C., Henson K., Kato N., Kuhen K., et al. In silico activity profiling reveals the mechanism of action of antimalarials discovered in a high-throughput screen. Proc Natl Acad Sci U S A 2008, 105:9059-9064.
    • (2008) Proc Natl Acad Sci U S A , vol.105 , pp. 9059-9064
    • Plouffe, D.1    Brinker, A.2    McNamara, C.3    Henson, K.4    Kato, N.5    Kuhen, K.6
  • 133
    • 0034069495 scopus 로고    scopus 로고
    • Gene ontology: tool for the unification of biology. The Gene Ontology Consortium
    • Ashburner M., Ball C.A., Blake J.A., Botstein D., Butler H., Cherry J.M., et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 2000, 25:25-29.
    • (2000) Nat Genet , vol.25 , pp. 25-29
    • Ashburner, M.1    Ball, C.A.2    Blake, J.A.3    Botstein, D.4    Butler, H.5    Cherry, J.M.6
  • 134
    • 0033539092 scopus 로고    scopus 로고
    • Structures of a histone deacetylase homologue bound to the TSA and SAHA inhibitors
    • Finnin M.S., Donigian J.R., Cohen A., Richon V.M., Rifkind R.A., Marks P.A., et al. Structures of a histone deacetylase homologue bound to the TSA and SAHA inhibitors. Nature 1999, 401:188-193.
    • (1999) Nature , vol.401 , pp. 188-193
    • Finnin, M.S.1    Donigian, J.R.2    Cohen, A.3    Richon, V.M.4    Rifkind, R.A.5    Marks, P.A.6
  • 135
    • 0027378351 scopus 로고
    • Trapoxin, an antitumor cyclic tetrapeptide, is an irreversible inhibitor of mammalian histone deacetylase
    • Kijima M., Yoshida M., Sugita K., Horinouchi S., Beppu T. Trapoxin, an antitumor cyclic tetrapeptide, is an irreversible inhibitor of mammalian histone deacetylase. J Biol Chem 1993, 268:22429-22435.
    • (1993) J Biol Chem , vol.268 , pp. 22429-22435
    • Kijima, M.1    Yoshida, M.2    Sugita, K.3    Horinouchi, S.4    Beppu, T.5
  • 136
    • 27544446579 scopus 로고    scopus 로고
    • Promiscuous drugs compared to selective drugs (promiscuity can be a virtue)
    • Mencher S.K., Wang L.G. Promiscuous drugs compared to selective drugs (promiscuity can be a virtue). BMC Clin Pharmacol 2005, 5:3.
    • (2005) BMC Clin Pharmacol , vol.5 , pp. 3
    • Mencher, S.K.1    Wang, L.G.2
  • 137
    • 4644289587 scopus 로고    scopus 로고
    • Multitargeted drugs: the end of the "one-target-one-disease" philosophy?
    • Wermuth C.G. Multitargeted drugs: the end of the "one-target-one-disease" philosophy?. Drug Discov Today 2004, 9:826-827.
    • (2004) Drug Discov Today , vol.9 , pp. 826-827
    • Wermuth, C.G.1
  • 138
    • 33644858616 scopus 로고    scopus 로고
    • Selective optimization of side activities: the SOSA approach
    • Wermuth C.G. Selective optimization of side activities: the SOSA approach. Drug Discov Today 2006, 11:160-164.
    • (2006) Drug Discov Today , vol.11 , pp. 160-164
    • Wermuth, C.G.1
  • 139
    • 15044349115 scopus 로고    scopus 로고
    • The efficiency of multi-target drugs: the network approach might help drug design
    • Csermely P., Agoston V., Pongor S. The efficiency of multi-target drugs: the network approach might help drug design. Trends Pharmacol Sci 2005, 26:178-182.
    • (2005) Trends Pharmacol Sci , vol.26 , pp. 178-182
    • Csermely, P.1    Agoston, V.2    Pongor, S.3
  • 140
    • 27144449695 scopus 로고    scopus 로고
    • Designed multiple ligands. An emerging drug discovery paradigm
    • Morphy R., Rankovic Z. Designed multiple ligands. An emerging drug discovery paradigm. J Med Chem 2005, 48:6523-6543.
    • (2005) J Med Chem , vol.48 , pp. 6523-6543
    • Morphy, R.1    Rankovic, Z.2
  • 141
    • 0029061596 scopus 로고
    • Indirect gene diagnoses for complex (multifactorial) diseases-a review
    • Epplen J.T., Buitkamp J., Bocker T., Epplen C. Indirect gene diagnoses for complex (multifactorial) diseases-a review. Gene 1995, 159:49-55.
    • (1995) Gene , vol.159 , pp. 49-55
    • Epplen, J.T.1    Buitkamp, J.2    Bocker, T.3    Epplen, C.4
  • 142
    • 77953998498 scopus 로고    scopus 로고
    • Ground state robustness as an evolutionary design principle in signaling networks
    • Kartal O., Ebenhoh O. Ground state robustness as an evolutionary design principle in signaling networks. PLoS One 2009, 4:e8001.
    • (2009) PLoS One , vol.4
    • Kartal, O.1    Ebenhoh, O.2
  • 143
    • 0036235053 scopus 로고    scopus 로고
    • Antiinflammatory and immunomodulatory properties of statins
    • Shovman O., Levy Y., Gilburd B., Shoenfeld Y. Antiinflammatory and immunomodulatory properties of statins. Immunol Res 2002, 25:271-285.
    • (2002) Immunol Res , vol.25 , pp. 271-285
    • Shovman, O.1    Levy, Y.2    Gilburd, B.3    Shoenfeld, Y.4
  • 144
    • 59349083179 scopus 로고    scopus 로고
    • Mechanisms of drug combinations: interaction and network perspectives
    • Jia J., Zhu F., Ma X., Cao Z., Li Y., Chen Y.Z. Mechanisms of drug combinations: interaction and network perspectives. Nat Rev Drug Discov 2009, 8:111-128.
    • (2009) Nat Rev Drug Discov , vol.8 , pp. 111-128
    • Jia, J.1    Zhu, F.2    Ma, X.3    Cao, Z.4    Li, Y.5    Chen, Y.Z.6
  • 145
    • 65549171659 scopus 로고    scopus 로고
    • Designing multiple ligands - medicinal chemistry strategies and challenges
    • Morphy R., Rankovic Z. Designing multiple ligands - medicinal chemistry strategies and challenges. Curr Pharm Des 2009, 15:587-600.
    • (2009) Curr Pharm Des , vol.15 , pp. 587-600
    • Morphy, R.1    Rankovic, Z.2
  • 146
    • 84934438895 scopus 로고    scopus 로고
    • Systems biology approaches and tools for analysis of interactomes and multi-target drugs
    • Schrattenholz A., Groebe K., Soskic V. Systems biology approaches and tools for analysis of interactomes and multi-target drugs. Methods Mol Biol 2010, 662:29-58.
    • (2010) Methods Mol Biol , vol.662 , pp. 29-58
    • Schrattenholz, A.1    Groebe, K.2    Soskic, V.3
  • 147
    • 77953286121 scopus 로고    scopus 로고
    • In-silico approaches to multi-target drug discovery: computer aided multi-target drug design, multi-target virtual screening
    • Ma X.H., Shi Z., Tan C., Jiang Y., Go M.L., Low B.C., et al. In-silico approaches to multi-target drug discovery: computer aided multi-target drug design, multi-target virtual screening. Pharm Res 2010, 27:739-749.
    • (2010) Pharm Res , vol.27 , pp. 739-749
    • Ma, X.H.1    Shi, Z.2    Tan, C.3    Jiang, Y.4    Go, M.L.5    Low, B.C.6
  • 148
    • 77950353931 scopus 로고    scopus 로고
    • Toward the dynamic interactome: it's about time
    • Przytycka T.M., Singh M., Slonim D.K. Toward the dynamic interactome: it's about time. Brief Bioinform 2010, 11:15-29.
    • (2010) Brief Bioinform , vol.11 , pp. 15-29
    • Przytycka, T.M.1    Singh, M.2    Slonim, D.K.3
  • 149
    • 79955821295 scopus 로고    scopus 로고
    • Drug target identification from protein dynamics using quantitative pathway analysis.
    • Good D.M., Zubarev R.A. Drug target identification from protein dynamics using quantitative pathway analysis. J Proteome Res 2011, 10:2679-2683.
    • (2011) J Proteome Res , vol.10 , pp. 2679-2683
    • Good, D.M.1    Zubarev, R.A.2
  • 153
  • 154
  • 155
    • 79958814927 scopus 로고    scopus 로고
    • QSAR modelling of rat acute toxicity on the basis of PASS prediction
    • Lagunin A., Zakharov A., Filimonov D., Poroikov V. QSAR modelling of rat acute toxicity on the basis of PASS prediction. Mol Inf 2011, 30:241-250.
    • (2011) Mol Inf , vol.30 , pp. 241-250
    • Lagunin, A.1    Zakharov, A.2    Filimonov, D.3    Poroikov, V.4
  • 157
    • 79960401699 scopus 로고    scopus 로고
    • Molecular mechanism of selective recruitment of SYK kinases by the membrane antigen-receptor complex
    • Bond P.J., Faraldo-Gomez J.D. Molecular mechanism of selective recruitment of SYK kinases by the membrane antigen-receptor complex. J Biol Chem 2011, 286:25872-25881.
    • (2011) J Biol Chem , vol.286 , pp. 25872-25881
    • Bond, P.J.1    Faraldo-Gomez, J.D.2


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